基于机器学习和3D打印的可定制P水凝应用器用于皮肤血管瘤的胸膜治疗
Jingyu Wang1, Rang Wang2, Peng Chen1
1College of Polymer Science and Engineering, National Key Laboratory of Advanced Polymer Materials, Sichuan University, Chengdu 610065, China. xuyt@scu.edu.cn.
Journal of materials chemistry. B
|April 22, 2025
概括
一个新的3D打印的水凝应用器精确地适应皮肤血管瘤病变,以进行有效的支臂疗法. 这种先进的系统使用机器学习来准确地绘制病变,改善治疗和保护健康的皮肤.
科学领域:
- 生物材料科学 生物材料科学
- 医学物理 医学物理
- 在瘤学瘤学.
背景情况:
- 皮肤血管瘤在儿童中很常见,需要精确的手臂治疗.
- 目前的应用器在损伤轮适应和辐射保护方面面临着挑战.
- 需要先进的应用器,具有形状适应性和易于制备.
研究的目的:
- 开发一种可定制的3D打印水凝应用器,用于精确的皮肤血管瘤胸膜疗法.
- 整合机器学习用于自动化损伤识别和应用器设计.
- 评估应用器的性能,生物相容性和治疗疗效.
主要方法:
- 利用机器学习实现高几何精度 (98.78%) 的自动化损伤轮识别.
- 使用3D打印技术开发了一种基于聚烯胺 (PAAm) 水凝的应用器.
- 将-32 (32P) 放射性核酸 (P-HG) 装入水凝,并在体外和体内评估其特性和有效性.
主要成果:
- 机器学习算法确保了准确的3D打印数据.
- 优化的水凝显示出出色的机械性能,快速固化 (<10分钟),以及高P负载效率 (>85%).
- 在临床前模型中,P-HG应用器显示出良好的生物相容性和有效的治疗疗效,制造时间显著缩短.
结论:
- 开发的系统结合了智能识别,3D打印和增强的水凝,为精确的支臂治疗提供了有前途的方法.
- 这项技术解决了皮肤血管瘤治疗中病变无序的挑战.
- 可定制的水凝应用器具有显著的实用潜力,可以改善支臂治疗的结果.
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